Instructions to use andreclaudino/CodeLlama-70b-Instruct-bitnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="andreclaudino/CodeLlama-70b-Instruct-bitnet", filename="model-F16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: llama cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: llama cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: ./llama-cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Use Docker
docker model run hf.co/andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
- LM Studio
- Jan
- Ollama
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Ollama:
ollama run hf.co/andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
- Unsloth Studio
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for andreclaudino/CodeLlama-70b-Instruct-bitnet to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for andreclaudino/CodeLlama-70b-Instruct-bitnet to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for andreclaudino/CodeLlama-70b-Instruct-bitnet to start chatting
- Atomic Chat new
- Docker Model Runner
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Docker Model Runner:
docker model run hf.co/andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
- Lemonade
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Run and chat with the model
lemonade run user.CodeLlama-70b-Instruct-bitnet-F16
List all available models
lemonade list
Upload folder using huggingface_hub
Browse files- added_tokens.json +3 -0
- config.json +30 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +51 -0
- training_args.bin +3 -0
added_tokens.json
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{
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"<step>": 32015
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}
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config.json
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{
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"_name_or_path": "codellama/CodeLlama-70b-Instruct-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"max_position_embeddings": 768,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 6,
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"num_hidden_layers": 6,
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"num_key_value_heads": 6,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.46.2",
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"use_cache": true,
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"vocab_size": 32016
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.46.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:986a70eb42f5263d7fb08aee1f5648e46dd34467a6ecb169af729f274def34c6
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size 309979680
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:99049b351301fb75b3b0587a484b675cbfd51abe27d2b92eabd385e4c41f97e9
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size 500033
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32015": {
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"content": "<step>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": true,
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"special": false
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set user_index = 1 %}{% else %}{% set user_index = 0 %}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != ((loop.index0 + user_index) % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 %}{{ '<s>' }}{% endif %}{% set content = 'Source: ' + message['role'] + '\n\n ' + message['content'] | trim %}{{ content + ' <step> ' }}{% endfor %}{{'Source: assistant\nDestination: user\n\n '}}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1973c4e9fe9dff2a52a003ce8537a180941e0bf29121fef72f34ec17650f8c50
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+
size 5240
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